Multivariate data analysis
著者
書誌事項
Multivariate data analysis
Pearson, c2014
7th ed., Pearson new international ed
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注記
Other authors: William C. Black, Barry J. Babin, Rolph E. Anderson
Includes bibliographical references and index
内容説明・目次
内容説明
For graduate and upper-level undergraduate marketing research courses. For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. In this seventh revision, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.
目次
I Introduction
1 Introduction
II Preparing For a MV Analysis
2 Examining Your Data
3 Factor Analysis
III Dependence Techniques
4 Multiple Regression Analysis
5 Multiple Discriminate Analysis and Logistic Regression
6 Multivariate Analysis of Variance
IV Interdependence Techniques
7 Cluster Analysis
8 Multidimensional Scaling and Correspondence Analysis
V Moving Beyond the Basic Techniques
9 Structural Equation Modeling: Overview
10 Appendix - SEM
10a CFA: Confirmatory Factor Analysis
11 Appendix - CFA
11a SEM: Testing A Structural Model
12 Appendix - SEM
12a Conjoint Analysis
APPENDIX
A Basic Stats
「Nielsen BookData」 より
